Context
The challenge
Creating and managing effective AI prompts for different use cases requires significant technical expertise and iterative testing. Without a structured system, administrators struggle to build complex prompts with multiple sections, test them with real business data before deployment, and maintain consistency across prompt types (SMS/Email, generic analysis, blog, analytics). Managing versions, section ordering, and validating effectiveness becomes challenging.
How we worked
Our approach
We designed a comprehensive prompt management platform enabling administrators to create modular prompts with multiple sections, test prompts with real business data via dry-run (individual businesses, zip codes, or cities), manage prompt types and versions, and validate effectiveness before deployment.
Delivery
The solution
The system provides a modular prompt builder with reusable sections and configurable order, supporting multiple prompt types (SMS_EMAIL, GENERIC, BLOG, ANALYTICS). Comprehensive testing uses Count and Summary APIs and multiple LLM models. Business data integration fetches Facebook Ads, Google Ads, GBP, Analytics, Leads, CallRail data and enables Excel export with separate sheets per data type.
Results
Key metrics
- 4+
- Prompt Types
- Dry-run with real data
- Testing
- Excel multi-sheet
- Data Export
- No-code
- Iteration
Impact
Results & outcomes
- Rapid creation and modification of AI prompts without code changes, supporting A/B testing
- Reusable section-based architecture reducing duplication across prompts
- Flexible validation with individual businesses, zip codes, or cities
- Organized prompts by type for easier management and location
- Comprehensive business data export for offline analysis and reporting
Tech used
Technology stack
Tools and patterns from this engagement—your stack may differ.